Yasumasa Onoe

37 papers A* 5Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2025 A* conf
Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating.
ICLR
Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Pinelopi Papalampidi, Ira Ktena, Christopher Knutsen, Cyrus Rashtchian, Anant Nawalgaria, Jordi Pont-Tuset, Aida Nematzadeh
2025 J jnl
Unblocking Fine-Grained Evaluation of Detailed Captions: An Explaining AutoRater and Critic-and-Revise Pipeline.
CoRR
Brian Gordon, Yonatan Bitton, Andreea Marzoca, Yasumasa Onoe, Xiao Wang, Daniel Cohen-Or, Idan Szpektor
2024 — conf
DOCCI: Descriptions of Connected and Contrasting Images.
ECCV (60)
Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge
2024 J jnl
DOCCI: Descriptions of Connected and Contrasting Images.
CoRR
Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, Jason Baldridge
2024 J jnl
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.
CoRR
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Shixin Luo, Zarana Parekh, Andrew Bunner, Hongliang Fei, Roopal Garg, Mandy Guo, Ivana Kajic, Yeqing Li, Henna Nandwani, Jordi Pont-Tuset, Yasumasa Onoe, Sarah Rosston, Su Wang, Wenlei Zhou, Kevin Swersky, David J. Fleet, Jason M. Baldridge, Oliver Wang
2024 J jnl
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models.
Trans. Mach. Learn. Res.
Cristina Nader Vasconcelos, Abdullah Rashwan, Austin Waters, Trevor Walker, Keyang Xu, Jimmy Yan, Rui Qian, Yeqing Li, Shixin Luo, Yasumasa Onoe, Zarana Parekh, Ivana Kajic, Mandy Guo, Wenlei Zhou, Sarah Rosston, Roopal Garg, Hongliang Fei, Jordi Pont-Tuset, Su Wang, Henna Nandwani, Andrew Bunner, Kevin Swersky, David J. Fleet, Oliver Wang, Jason M. Baldridge
2024 A* conf
ImageInWords: Unlocking Hyper-Detailed Image Descriptions.
EMNLP
Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut
2024 J jnl
ImageInWords: Unlocking Hyper-Detailed Image Descriptions.
CoRR
Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut
2024 J jnl
Jamp_sp : A Controlled Japanese Temporal Inference Dataset Considering Aspect.
J. Nat. Lang. Process.
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
2024 J jnl
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.
CoRR
Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
2023 — conf
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.
ACL (1)
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
2023 J jnl
Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.
CoRR
Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi
2023 A* conf
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
CVPR
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
2023 — conf
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.
ACL (student)
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
2023 J jnl
Jamp: Controlled Japanese Temporal Inference Dataset for Evaluating Generalization Capacity of Language Models.
CoRR
Tomoki Sugimoto, Yasumasa Onoe, Hitomi Yanaka
2023 A* conf
Propagating Knowledge Updates to LMs Through Distillation.
NeurIPS
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
2023 J jnl
Propagating Knowledge Updates to LMs Through Distillation.
CoRR
Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi
2022 — conf
Entity Cloze By Date: What LMs Know About Unseen Entities.
NAACL-HLT (Findings)
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2022 J jnl
Entity Cloze By Date: What LMs Know About Unseen Entities.
CoRR
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2022 J jnl
Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.
CoRR
Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
2022 — conf
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection.
WWW (Companion Volume)
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh
2022 — conf
Intermediate Entity-based Sparse Interpretable Representation Learning.
BlackboxNLP@EMNLP
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2022 J jnl
Intermediate Entity-based Sparse Interpretable Representation Learning.
CoRR
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh, Byron C. Wallace
2021 — conf
Biomedical Interpretable Entity Representations.
ACL/IJCNLP (Findings)
Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021 J jnl
Biomedical Interpretable Entity Representations.
CoRR
Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron C. Wallace, Kush R. Varshney
2021 — conf
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.
NeurIPS Datasets and Benchmarks
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2021 J jnl
CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.
CoRR
Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett
2021 J jnl
Cross-Lingual Fine-Grained Entity Typing.
CoRR
Nila Selvaraj, Yasumasa Onoe, Greg Durrett
2021 J jnl
Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection.
CoRR
Diego Garcia-Olano, Yasumasa Onoe, Joydeep Ghosh
2021 — conf
Modeling Fine-Grained Entity Types with Box Embeddings.
ACL/IJCNLP (1)
Yasumasa Onoe, Michael Boratko, Andrew McCallum, Greg Durrett
2021 J jnl
Modeling Fine-Grained Entity Types with Box Embeddings.
CoRR
Yasumasa Onoe, Michael Boratko, Greg Durrett
2020 A* conf
Fine-Grained Entity Typing for Domain Independent Entity Linking.
AAAI
Yasumasa Onoe, Greg Durrett
2020 — conf
Interpretable Entity Representations through Large-Scale Typing.
EMNLP (Findings)
Yasumasa Onoe, Greg Durrett
2020 J jnl
Interpretable Entity Representations through Large-Scale Typing.
CoRR
Yasumasa Onoe, Greg Durrett
2019 J jnl
Fine-Grained Entity Typing for Domain Independent Entity Linking.
CoRR
Yasumasa Onoe, Greg Durrett
2019 — conf
Learning to Denoise Distantly-Labeled Data for Entity Typing.
NAACL-HLT (1)
Yasumasa Onoe, Greg Durrett
2019 J jnl
Learning to Denoise Distantly-Labeled Data for Entity Typing.
CoRR
Yasumasa Onoe, Greg Durrett